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Aleksandr Beznosikov — most-cited papers & profile · Federated Learning
← authors
·
overview
Aleksandr Beznosikov
14
papers ·
20
citations ·
0
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Decentralized Distributed Optimization for Saddle Point Problems
2021 · 10 citations
Distributed Saddle-Point Problems: Lower Bounds, Near-Optimal and Robust Algorithms
2020 · 5 citations
One-Point Feedback for Composite Optimization with Applications to Distributed and Federated Learning
2021 · 3 citations
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
2021 · 2 citations
Communication-Efficient Federated Learning with Adaptive Number of Participants
2025
Bant: Byzantine Antidote via Trial Function and Trust Scores
2025
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity
2024
Decentralized Personalized Federated Learning for Min-Max Problems
2021
Local Methods with Adaptivity via Scaling
2024
Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning
2024
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning
2024
Label Privacy in Split Learning for Large Models with Parameter-Efficient Training
2024
Top co-authors
Alexander Gasnikov
· 4
Dmitry Bylinkin
· 3
Daniil Medyakov
· 2
Gleb Molodtsov
· 2
Martin Tak\'a\v{c
· 2
Max Ryabinin
· 2
Nikolas Khachaturov
· 2
Philip Zmushko
· 2
Sergey Skorik
· 2
A. Avetisyan
· 1
Abdurakhmon Sadiev
· 1
Alexander Gasnikov
· 1
Topics
Optimization
Federated Learning
Communication
Privacy
Data Heterogeneity
Adversarial Attacks
cs.CR
Security